Qwen 3 8B needs ~9.3 GB VRAM. RTX 3080 10GB has 10.0 GB. With Q4_K_M quantization, expect ~112 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Tight fit
Decode
112.0 tok/s
TTFT
1729 ms
Safe context
21K
Memory
9.3 GB / 10.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 112.0 tok/s | 943 ms | 21K |
| Coding | S | Tight fit | 112.0 tok/s | 1729 ms | 21K |
| Agentic Coding | A | Very compromised (needs ~0.6 GB host RAM) | 71.4 tok/s | 3942 ms | 21K |
| Reasoning | S | Tight fit | 112.0 tok/s | 2043 ms | 21K |
| RAG | A | Very compromised (needs ~0.6 GB host RAM) | 71.4 tok/s | 4927 ms | 21K |
How Qwen 3 8B (8B params) fits at each quantization level on RTX 3080 10GB (10.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | S91 |
Q3_K_S | 3 | 3.9 GB | Low | S93 |
NVFP4 | 4 | 4.5 GB | Medium | S93 |
Q4_K_M | 4 | 4.9 GB | Medium | S93 |
Q5_K_M | 5 | 5.8 GB | High | S92 |
Q6_KBest for your GPU | 6 | 6.6 GB | High | S92 |
Q8_0 | 8 | 8.6 GB | Very High | F0 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Copy-paste commands to run Qwen 3 8B on your machine.
Run
ollama run qwen3:8bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen 3.5 9B | 9B | S | 113.1 tok/s |
Yes, RTX 3080 10GB can run Qwen 3 8B with a S grade (Tight fit). Expected decode speed: 112.0 tok/s.
Qwen 3 8B (8B parameters) requires approximately 9.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 8B is Q4_K_M, which balances quality and memory efficiency.
On RTX 3080 10GB, Qwen 3 8B achieves approximately 112.0 tokens per second decode speed with a time-to-first-token of 1729ms using Q4_K_M quantization.
For coding workloads, Qwen 3 8B on RTX 3080 10GB receives a S grade with 112.0 tok/s and 21K context.
On RTX 3080 10GB, Qwen 3 8B can safely use up to 21K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-3-8b-on-rtx-3080-10gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: